Compatibility with the Array API standard
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Description
What is your issue?
Meta-issue to track all the smaller issues around making xarray and the array API standard compatible with each other.
We've already had
- #6804
- #7067
- #7847
and there will likely be many others.
I suspect this might require changes to the standard as well as to xarray - in particular see this list of common numpy functions which are not currently in the array API standard. Of these xarray currently uses (FYI @ralfgommers ):
np.clipnp.diffnp.padnp.repeatnp.takenp.tile
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the linked issues #6804, #7067, and #7847, then compare the listed NumPy functions with the Array API standard issue #187. The broader work spans xarray and potentially the standard itself; done means the individual compatibility gaps are identified and tracked or resolved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100